Overview

Brought to you by YData

Dataset statistics

Number of variables23
Number of observations3840312
Missing cells5877356
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory875.7 MiB
Average record size in memory239.1 B

Variable types

Numeric22
Categorical1

Alerts

AMT_BALANCE is highly overall correlated with AMT_DRAWINGS_CURRENT and 7 other fieldsHigh correlation
AMT_DRAWINGS_ATM_CURRENT is highly overall correlated with AMT_DRAWINGS_CURRENT and 2 other fieldsHigh correlation
AMT_DRAWINGS_CURRENT is highly overall correlated with AMT_BALANCE and 6 other fieldsHigh correlation
AMT_DRAWINGS_OTHER_CURRENT is highly overall correlated with CNT_DRAWINGS_OTHER_CURRENTHigh correlation
AMT_DRAWINGS_POS_CURRENT is highly overall correlated with AMT_DRAWINGS_CURRENT and 2 other fieldsHigh correlation
AMT_INST_MIN_REGULARITY is highly overall correlated with AMT_BALANCE and 5 other fieldsHigh correlation
AMT_PAYMENT_CURRENT is highly overall correlated with AMT_BALANCE and 5 other fieldsHigh correlation
AMT_PAYMENT_TOTAL_CURRENT is highly overall correlated with AMT_BALANCE and 5 other fieldsHigh correlation
AMT_RECEIVABLE_PRINCIPAL is highly overall correlated with AMT_BALANCE and 7 other fieldsHigh correlation
AMT_RECIVABLE is highly overall correlated with AMT_BALANCE and 5 other fieldsHigh correlation
AMT_TOTAL_RECEIVABLE is highly overall correlated with AMT_BALANCE and 5 other fieldsHigh correlation
CNT_DRAWINGS_ATM_CURRENT is highly overall correlated with AMT_DRAWINGS_ATM_CURRENT and 2 other fieldsHigh correlation
CNT_DRAWINGS_CURRENT is highly overall correlated with AMT_BALANCE and 6 other fieldsHigh correlation
CNT_DRAWINGS_OTHER_CURRENT is highly overall correlated with AMT_DRAWINGS_OTHER_CURRENTHigh correlation
CNT_DRAWINGS_POS_CURRENT is highly overall correlated with AMT_DRAWINGS_CURRENT and 2 other fieldsHigh correlation
SK_DPD is highly overall correlated with SK_DPD_DEFHigh correlation
SK_DPD_DEF is highly overall correlated with SK_DPDHigh correlation
NAME_CONTRACT_STATUS is highly imbalanced (91.2%) Imbalance
AMT_DRAWINGS_ATM_CURRENT has 749816 (19.5%) missing values Missing
AMT_DRAWINGS_OTHER_CURRENT has 749816 (19.5%) missing values Missing
AMT_DRAWINGS_POS_CURRENT has 749816 (19.5%) missing values Missing
AMT_INST_MIN_REGULARITY has 305236 (7.9%) missing values Missing
AMT_PAYMENT_CURRENT has 767988 (20.0%) missing values Missing
CNT_DRAWINGS_ATM_CURRENT has 749816 (19.5%) missing values Missing
CNT_DRAWINGS_OTHER_CURRENT has 749816 (19.5%) missing values Missing
CNT_DRAWINGS_POS_CURRENT has 749816 (19.5%) missing values Missing
CNT_INSTALMENT_MATURE_CUM has 305236 (7.9%) missing values Missing
AMT_DRAWINGS_OTHER_CURRENT is highly skewed (γ1 = 50.57035044) Skewed
CNT_DRAWINGS_OTHER_CURRENT is highly skewed (γ1 = 26.3238188) Skewed
SK_DPD_DEF is highly skewed (γ1 = 89.83043358) Skewed
AMT_BALANCE has 2156420 (56.2%) zeros Zeros
AMT_CREDIT_LIMIT_ACTUAL has 753823 (19.6%) zeros Zeros
AMT_DRAWINGS_ATM_CURRENT has 2665718 (69.4%) zeros Zeros
AMT_DRAWINGS_CURRENT has 3223443 (83.9%) zeros Zeros
AMT_DRAWINGS_OTHER_CURRENT has 3078163 (80.2%) zeros Zeros
AMT_DRAWINGS_POS_CURRENT has 2825595 (73.6%) zeros Zeros
AMT_INST_MIN_REGULARITY has 1928864 (50.2%) zeros Zeros
AMT_PAYMENT_CURRENT has 390507 (10.2%) zeros Zeros
AMT_PAYMENT_TOTAL_CURRENT has 2172223 (56.6%) zeros Zeros
AMT_RECEIVABLE_PRINCIPAL has 2296167 (59.8%) zeros Zeros
AMT_RECIVABLE has 2113816 (55.0%) zeros Zeros
AMT_TOTAL_RECEIVABLE has 2113643 (55.0%) zeros Zeros
CNT_DRAWINGS_ATM_CURRENT has 2665718 (69.4%) zeros Zeros
CNT_DRAWINGS_CURRENT has 3229952 (84.1%) zeros Zeros
CNT_DRAWINGS_OTHER_CURRENT has 3077688 (80.1%) zeros Zeros
CNT_DRAWINGS_POS_CURRENT has 2825594 (73.6%) zeros Zeros
CNT_INSTALMENT_MATURE_CUM has 551467 (14.4%) zeros Zeros
SK_DPD has 3686957 (96.0%) zeros Zeros
SK_DPD_DEF has 3750972 (97.7%) zeros Zeros

Reproduction

Analysis started2025-02-02 10:18:33.802325
Analysis finished2025-02-02 10:38:18.289621
Duration19 minutes and 44.49 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

SK_ID_PREV
Real number (ℝ)

Distinct104307
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1904503.6
Minimum1000018
Maximum2843496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:19.144662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1000018
5-th percentile1082648
Q11434385
median1897122
Q32369327.8
95-th percentile2748797
Maximum2843496
Range1843478
Interquartile range (IQR)934942.75

Descriptive statistics

Standard deviation536469.47
Coefficient of variation (CV)0.28168467
Kurtosis-1.2196066
Mean1904503.6
Median Absolute Deviation (MAD)469296
Skewness0.038385485
Sum7.313888 × 1012
Variance2.8779949 × 1011
MonotonicityNot monotonic
2025-02-02T16:08:19.606347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2377894 96
 
< 0.1%
2581635 96
 
< 0.1%
1130707 96
 
< 0.1%
1602951 96
 
< 0.1%
2775491 96
 
< 0.1%
1079971 96
 
< 0.1%
1184786 96
 
< 0.1%
2817372 96
 
< 0.1%
1017996 96
 
< 0.1%
2567670 96
 
< 0.1%
Other values (104297) 3839352
> 99.9%
ValueCountFrequency (%)
1000018 5
 
< 0.1%
1000030 8
 
< 0.1%
1000031 16
 
< 0.1%
1000035 5
 
< 0.1%
1000077 11
 
< 0.1%
1000083 13
 
< 0.1%
1000087 32
 
< 0.1%
1000089 5
 
< 0.1%
1000094 88
< 0.1%
1000096 96
< 0.1%
ValueCountFrequency (%)
2843496 15
 
< 0.1%
2843493 15
 
< 0.1%
2843478 90
< 0.1%
2843477 85
< 0.1%
2843476 95
< 0.1%
2843461 73
< 0.1%
2843448 39
< 0.1%
2843423 22
 
< 0.1%
2843414 95
< 0.1%
2843413 96
< 0.1%

SK_ID_CURR
Real number (ℝ)

Distinct103558
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278324.21
Minimum100006
Maximum456250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:20.300280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100006
5-th percentile118195
Q1189517
median278396
Q3367580
95-th percentile438161
Maximum456250
Range356244
Interquartile range (IQR)178063

Descriptive statistics

Standard deviation102704.48
Coefficient of variation (CV)0.36901021
Kurtosis-1.1994752
Mean278324.21
Median Absolute Deviation (MAD)89029
Skewness-0.0018338367
Sum1.0688518 × 1012
Variance1.0548209 × 1010
MonotonicityNot monotonic
2025-02-02T16:08:20.928546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186401 192
 
< 0.1%
311118 178
 
< 0.1%
120076 140
 
< 0.1%
128827 129
 
< 0.1%
191826 128
 
< 0.1%
432607 128
 
< 0.1%
246089 128
 
< 0.1%
264667 127
 
< 0.1%
116448 127
 
< 0.1%
173773 127
 
< 0.1%
Other values (103548) 3838908
> 99.9%
ValueCountFrequency (%)
100006 6
 
< 0.1%
100011 74
< 0.1%
100013 96
< 0.1%
100021 17
 
< 0.1%
100023 8
 
< 0.1%
100028 49
< 0.1%
100036 12
 
< 0.1%
100042 84
< 0.1%
100043 33
 
< 0.1%
100047 36
 
< 0.1%
ValueCountFrequency (%)
456250 12
 
< 0.1%
456248 23
 
< 0.1%
456247 95
< 0.1%
456246 8
 
< 0.1%
456244 41
< 0.1%
456242 8
 
< 0.1%
456241 33
 
< 0.1%
456239 88
< 0.1%
456237 15
 
< 0.1%
456236 94
< 0.1%

MONTHS_BALANCE
Real number (ℝ)

Distinct96
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-34.521921
Minimum-96
Maximum-1
Zeros0
Zeros (%)0.0%
Negative3840312
Negative (%)100.0%
Memory size29.3 MiB
2025-02-02T16:08:21.509466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-96
5-th percentile-84
Q1-55
median-28
Q3-11
95-th percentile-3
Maximum-1
Range95
Interquartile range (IQR)44

Descriptive statistics

Standard deviation26.667751
Coefficient of variation (CV)-0.77248747
Kurtosis-0.85615161
Mean-34.521921
Median Absolute Deviation (MAD)20
Skewness-0.59804009
Sum-1.3257495 × 108
Variance711.16894
MonotonicityNot monotonic
2025-02-02T16:08:21.988626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4 102115
 
2.7%
-5 100546
 
2.6%
-3 100355
 
2.6%
-6 98577
 
2.6%
-7 95332
 
2.5%
-2 94643
 
2.5%
-8 91419
 
2.4%
-9 86842
 
2.3%
-10 82525
 
2.1%
-11 78441
 
2.0%
Other values (86) 2909517
75.8%
ValueCountFrequency (%)
-96 11722
0.3%
-95 12521
0.3%
-94 13397
0.3%
-93 14197
0.4%
-92 14911
0.4%
-91 15656
0.4%
-90 16385
0.4%
-89 17088
0.4%
-88 17806
0.5%
-87 18465
0.5%
ValueCountFrequency (%)
-1 62356
1.6%
-2 94643
2.5%
-3 100355
2.6%
-4 102115
2.7%
-5 100546
2.6%
-6 98577
2.6%
-7 95332
2.5%
-8 91419
2.4%
-9 86842
2.3%
-10 82525
2.1%

AMT_BALANCE
Real number (ℝ)

High correlation  Zeros 

Distinct1347904
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58300.155
Minimum-420250.18
Maximum1505902.2
Zeros2156420
Zeros (%)56.2%
Negative2345
Negative (%)0.1%
Memory size29.3 MiB
2025-02-02T16:08:22.585761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-420250.18
5-th percentile0
Q10
median0
Q389046.686
95-th percentile257181.38
Maximum1505902.2
Range1926152.4
Interquartile range (IQR)89046.686

Descriptive statistics

Standard deviation106307.03
Coefficient of variation (CV)1.8234434
Kurtosis11.778682
Mean58300.155
Median Absolute Deviation (MAD)0
Skewness2.9201726
Sum2.2389079 × 1011
Variance1.1301185 × 1010
MonotonicityNot monotonic
2025-02-02T16:08:23.095558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2156420
56.2%
67.5 16049
 
0.4%
130.5 3662
 
0.1%
270 2313
 
0.1%
135 921
 
< 0.1%
202.5 742
 
< 0.1%
450 536
 
< 0.1%
1345.5 312
 
< 0.1%
92043 252
 
< 0.1%
46570.5 235
 
< 0.1%
Other values (1347894) 1658870
43.2%
ValueCountFrequency (%)
-420250.185 1
< 0.1%
-261471.015 1
< 0.1%
-259848.945 1
< 0.1%
-240305.985 1
< 0.1%
-223224.21 2
< 0.1%
-202735.89 1
< 0.1%
-189000 1
< 0.1%
-135359.01 1
< 0.1%
-130058.82 1
< 0.1%
-104737.68 1
< 0.1%
ValueCountFrequency (%)
1505902.185 1
< 0.1%
1354829.265 1
< 0.1%
1354613.265 1
< 0.1%
1347979.5 1
< 0.1%
1329264.63 1
< 0.1%
1229704.065 1
< 0.1%
1218896.64 1
< 0.1%
1214812.395 1
< 0.1%
1210510.755 1
< 0.1%
1150643.16 1
< 0.1%

AMT_CREDIT_LIMIT_ACTUAL
Real number (ℝ)

Zeros 

Distinct181
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153807.96
Minimum0
Maximum1350000
Zeros753823
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:25.120436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145000
median112500
Q3180000
95-th percentile450000
Maximum1350000
Range1350000
Interquartile range (IQR)135000

Descriptive statistics

Standard deviation165145.7
Coefficient of variation (CV)1.0737136
Kurtosis5.1840466
Mean153807.96
Median Absolute Deviation (MAD)67500
Skewness2.0597324
Sum5.9067054 × 1011
Variance2.7273102 × 1010
MonotonicityNot monotonic
2025-02-02T16:08:25.707315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 753823
19.6%
180000 529292
13.8%
135000 430142
11.2%
45000 329932
8.6%
90000 319996
8.3%
67500 308866
8.0%
450000 238197
 
6.2%
112500 182429
 
4.8%
225000 162053
 
4.2%
270000 125935
 
3.3%
Other values (171) 459647
12.0%
ValueCountFrequency (%)
0 753823
19.6%
4500 1111
 
< 0.1%
9000 2215
 
0.1%
13500 2413
 
0.1%
18000 735
 
< 0.1%
22500 652
 
< 0.1%
27000 7415
 
0.2%
31500 132
 
< 0.1%
36000 4473
 
0.1%
40500 281
 
< 0.1%
ValueCountFrequency (%)
1350000 145
 
< 0.1%
1237500 46
 
< 0.1%
1125000 22
 
< 0.1%
1012500 7
 
< 0.1%
900000 33583
0.9%
891000 6
 
< 0.1%
864000 7
 
< 0.1%
855000 1533
 
< 0.1%
837000 6
 
< 0.1%
828000 13
 
< 0.1%

AMT_DRAWINGS_ATM_CURRENT
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2267
Distinct (%)0.1%
Missing749816
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean5961.3248
Minimum-6827.31
Maximum2115000
Zeros2665718
Zeros (%)69.4%
Negative1
Negative (%)< 0.1%
Memory size29.3 MiB
2025-02-02T16:08:26.254234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6827.31
5-th percentile0
Q10
median0
Q30
95-th percentile33750
Maximum2115000
Range2121827.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28225.689
Coefficient of variation (CV)4.7348013
Kurtosis164.92753
Mean5961.3248
Median Absolute Deviation (MAD)0
Skewness9.6648423
Sum1.8423451 × 1010
Variance7.966895 × 108
MonotonicityNot monotonic
2025-02-02T16:08:26.679347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2665718
69.4%
4500 35851
 
0.9%
9000 27726
 
0.7%
45000 22946
 
0.6%
2250 22854
 
0.6%
22500 22676
 
0.6%
13500 21198
 
0.6%
6750 14712
 
0.4%
18000 13318
 
0.3%
90000 12034
 
0.3%
Other values (2257) 231463
 
6.0%
(Missing) 749816
 
19.5%
ValueCountFrequency (%)
-6827.31 1
 
< 0.1%
0 2665718
69.4%
45 17
 
< 0.1%
90 9
 
< 0.1%
135 9
 
< 0.1%
180 8
 
< 0.1%
225 510
 
< 0.1%
228.375 1
 
< 0.1%
270 2
 
< 0.1%
315 3
 
< 0.1%
ValueCountFrequency (%)
2115000 1
 
< 0.1%
1676250 1
 
< 0.1%
1354500 1
 
< 0.1%
1350000 8
< 0.1%
1332000 1
 
< 0.1%
1305000 1
 
< 0.1%
1291950 1
 
< 0.1%
1237500 1
 
< 0.1%
1215000 1
 
< 0.1%
1172250 1
 
< 0.1%

AMT_DRAWINGS_CURRENT
Real number (ℝ)

High correlation  Zeros 

Distinct187005
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7433.3882
Minimum-6211.62
Maximum2287098.3
Zeros3223443
Zeros (%)83.9%
Negative3
Negative (%)< 0.1%
Memory size29.3 MiB
2025-02-02T16:08:27.230963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6211.62
5-th percentile0
Q10
median0
Q30
95-th percentile45000
Maximum2287098.3
Range2293309.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33846.077
Coefficient of variation (CV)4.5532504
Kurtosis184.27441
Mean7433.3882
Median Absolute Deviation (MAD)0
Skewness10.065626
Sum2.854653 × 1010
Variance1.145557 × 109
MonotonicityNot monotonic
2025-02-02T16:08:27.675197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3223443
83.9%
4500 30257
 
0.8%
9000 22968
 
0.6%
2250 20212
 
0.5%
45000 18947
 
0.5%
22500 18670
 
0.5%
13500 16964
 
0.4%
6750 12658
 
0.3%
18000 10729
 
0.3%
90000 10169
 
0.3%
Other values (186995) 455295
 
11.9%
ValueCountFrequency (%)
-6211.62 1
 
< 0.1%
-1687.5 1
 
< 0.1%
-519.57 1
 
< 0.1%
0 3223443
83.9%
0.045 15
 
< 0.1%
0.09 12
 
< 0.1%
0.135 11
 
< 0.1%
0.18 15
 
< 0.1%
0.225 10
 
< 0.1%
0.27 15
 
< 0.1%
ValueCountFrequency (%)
2287098.315 1
< 0.1%
2239274.16 1
< 0.1%
2115000 1
< 0.1%
2060030.16 1
< 0.1%
1992949.2 1
< 0.1%
1933462.125 1
< 0.1%
1840173.57 1
< 0.1%
1783581.885 1
< 0.1%
1750619.43 1
< 0.1%
1593098.01 1
< 0.1%

AMT_DRAWINGS_OTHER_CURRENT
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct1832
Distinct (%)0.1%
Missing749816
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean288.16958
Minimum0
Maximum1529847
Zeros3078163
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:28.098042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1529847
Range1529847
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8201.9893
Coefficient of variation (CV)28.46237
Kurtosis3628.0099
Mean288.16958
Median Absolute Deviation (MAD)0
Skewness50.57035
Sum8.9058694 × 108
Variance67272629
MonotonicityNot monotonic
2025-02-02T16:08:28.662291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3078163
80.2%
3343.5 782
 
< 0.1%
6682.5 460
 
< 0.1%
4455 441
 
< 0.1%
8910 319
 
< 0.1%
46800 242
 
< 0.1%
4680 235
 
< 0.1%
9360 216
 
< 0.1%
23400 209
 
< 0.1%
5571 195
 
< 0.1%
Other values (1822) 9234
 
0.2%
(Missing) 749816
 
19.5%
ValueCountFrequency (%)
0 3078163
80.2%
234 1
 
< 0.1%
280.8 1
 
< 0.1%
459 2
 
< 0.1%
461.25 1
 
< 0.1%
468 4
 
< 0.1%
573.3 1
 
< 0.1%
695.25 1
 
< 0.1%
702 3
 
< 0.1%
826.2 1
 
< 0.1%
ValueCountFrequency (%)
1529847 1
< 0.1%
1302750 1
< 0.1%
900000 2
< 0.1%
899910 2
< 0.1%
899437.5 1
< 0.1%
898560 2
< 0.1%
898546.5 1
< 0.1%
872100 1
< 0.1%
853740 1
< 0.1%
819000 1
< 0.1%

AMT_DRAWINGS_POS_CURRENT
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct168748
Distinct (%)5.5%
Missing749816
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean2968.8048
Minimum0
Maximum2239274.2
Zeros2825595
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:29.146764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10116
Maximum2239274.2
Range2239274.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20796.887
Coefficient of variation (CV)7.0051378
Kurtosis713.98839
Mean2968.8048
Median Absolute Deviation (MAD)0
Skewness19.421081
Sum9.1750795 × 109
Variance4.3251051 × 108
MonotonicityNot monotonic
2025-02-02T16:08:29.592925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2825595
73.6%
450 1287
 
< 0.1%
900 976
 
< 0.1%
2250 910
 
< 0.1%
4500 801
 
< 0.1%
1350 784
 
< 0.1%
225 609
 
< 0.1%
45000 462
 
< 0.1%
1800 407
 
< 0.1%
2700 379
 
< 0.1%
Other values (168738) 258286
 
6.7%
(Missing) 749816
 
19.5%
ValueCountFrequency (%)
0 2825595
73.6%
0.045 1
 
< 0.1%
0.225 1
 
< 0.1%
0.45 1
 
< 0.1%
0.495 1
 
< 0.1%
0.54 1
 
< 0.1%
1.125 1
 
< 0.1%
1.215 1
 
< 0.1%
1.305 1
 
< 0.1%
2.025 2
 
< 0.1%
ValueCountFrequency (%)
2239274.16 1
< 0.1%
2060030.16 1
< 0.1%
1933462.125 1
< 0.1%
1896559.2 1
< 0.1%
1840173.57 1
< 0.1%
1750619.43 1
< 0.1%
1593098.01 1
< 0.1%
1579904.37 1
< 0.1%
1495476 1
< 0.1%
1495308.42 1
< 0.1%

AMT_INST_MIN_REGULARITY
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct312266
Distinct (%)8.8%
Missing305236
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean3540.2041
Minimum0
Maximum202882.01
Zeros1928864
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:30.065672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36633.9112
95-th percentile13500
Maximum202882.01
Range202882.01
Interquartile range (IQR)6633.9112

Descriptive statistics

Standard deviation5600.1541
Coefficient of variation (CV)1.5818732
Kurtosis10.182549
Mean3540.2041
Median Absolute Deviation (MAD)0
Skewness2.4944311
Sum1.2514891 × 1010
Variance31361726
MonotonicityNot monotonic
2025-02-02T16:08:30.594370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1928864
50.2%
9000 225429
 
5.9%
6750 147469
 
3.8%
3375 127613
 
3.3%
4500 124979
 
3.3%
2250 108350
 
2.8%
5625 82303
 
2.1%
7875 53931
 
1.4%
8100 34436
 
0.9%
10800 28194
 
0.7%
Other values (312256) 673508
 
17.5%
(Missing) 305236
 
7.9%
ValueCountFrequency (%)
0 1928864
50.2%
0.045 149
 
< 0.1%
0.09 168
 
< 0.1%
0.135 56
 
< 0.1%
0.18 151
 
< 0.1%
0.225 150
 
< 0.1%
0.27 59
 
< 0.1%
0.315 26
 
< 0.1%
0.36 30
 
< 0.1%
0.405 61
 
< 0.1%
ValueCountFrequency (%)
202882.005 1
< 0.1%
194198.31 1
< 0.1%
188976.6 1
< 0.1%
136760.625 1
< 0.1%
126728.145 1
< 0.1%
95604.21 2
< 0.1%
94903.965 1
< 0.1%
89710.65 1
< 0.1%
84588.3 1
< 0.1%
80755.245 2
< 0.1%

AMT_PAYMENT_CURRENT
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct163209
Distinct (%)5.3%
Missing767988
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean10280.538
Minimum0
Maximum4289207.4
Zeros390507
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:31.032346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1152.37
median2702.7
Q39000
95-th percentile31500
Maximum4289207.4
Range4289207.4
Interquartile range (IQR)8847.63

Descriptive statistics

Standard deviation36078.085
Coefficient of variation (CV)3.5093578
Kurtosis315.7569
Mean10280.538
Median Absolute Deviation (MAD)2702.7
Skewness12.990581
Sum3.1585143 × 1010
Variance1.3016282 × 109
MonotonicityNot monotonic
2025-02-02T16:08:31.715415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 390507
 
10.2%
9000 257297
 
6.7%
4500 143572
 
3.7%
6750 128296
 
3.3%
13500 100454
 
2.6%
22500 56016
 
1.5%
11250 45497
 
1.2%
3375 44600
 
1.2%
18000 37897
 
1.0%
5625 35591
 
0.9%
Other values (163199) 1832597
47.7%
(Missing) 767988
20.0%
ValueCountFrequency (%)
0 390507
10.2%
0.045 1585
 
< 0.1%
0.09 1094
 
< 0.1%
0.135 1364
 
< 0.1%
0.18 1260
 
< 0.1%
0.225 641
 
< 0.1%
0.27 1113
 
< 0.1%
0.315 897
 
< 0.1%
0.36 937
 
< 0.1%
0.405 657
 
< 0.1%
ValueCountFrequency (%)
4289207.445 1
< 0.1%
2497500 1
< 0.1%
2436495.255 1
< 0.1%
2287098.315 1
< 0.1%
2115000 1
< 0.1%
1981395 1
< 0.1%
1941419.205 1
< 0.1%
1931526.27 1
< 0.1%
1849337.01 1
< 0.1%
1833509.385 1
< 0.1%

AMT_PAYMENT_TOTAL_CURRENT
Real number (ℝ)

High correlation  Zeros 

Distinct182957
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7588.8567
Minimum0
Maximum4278315.7
Zeros2172223
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:32.037379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36750
95-th percentile23400
Maximum4278315.7
Range4278315.7
Interquartile range (IQR)6750

Descriptive statistics

Standard deviation32005.988
Coefficient of variation (CV)4.217498
Kurtosis393.25584
Mean7588.8567
Median Absolute Deviation (MAD)0
Skewness14.479719
Sum2.9143578 × 1010
Variance1.0243833 × 109
MonotonicityNot monotonic
2025-02-02T16:08:32.251770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2172223
56.6%
9000 250826
 
6.5%
4500 139736
 
3.6%
6750 126483
 
3.3%
13500 94005
 
2.4%
22500 49059
 
1.3%
3375 44678
 
1.2%
11250 42999
 
1.1%
5625 35558
 
0.9%
18000 34154
 
0.9%
Other values (182947) 850591
 
22.1%
ValueCountFrequency (%)
0 2172223
56.6%
0.045 444
 
< 0.1%
0.09 589
 
< 0.1%
0.135 386
 
< 0.1%
0.18 559
 
< 0.1%
0.225 324
 
< 0.1%
0.27 365
 
< 0.1%
0.315 469
 
< 0.1%
0.36 380
 
< 0.1%
0.405 329
 
< 0.1%
ValueCountFrequency (%)
4278315.69 1
< 0.1%
2495250 1
< 0.1%
2436495.255 1
< 0.1%
2286980.73 1
< 0.1%
2115000 1
< 0.1%
1981395 1
< 0.1%
1941419.205 1
< 0.1%
1931301.27 1
< 0.1%
1849112.01 1
< 0.1%
1833509.385 1
< 0.1%

AMT_RECEIVABLE_PRINCIPAL
Real number (ℝ)

High correlation  Zeros 

Distinct1195839
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55965.877
Minimum-423305.82
Maximum1472316.8
Zeros2296167
Zeros (%)59.8%
Negative2428
Negative (%)0.1%
Memory size29.3 MiB
2025-02-02T16:08:32.497514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-423305.82
5-th percentile0
Q10
median0
Q385359.24
95-th percentile247803.41
Maximum1472316.8
Range1895622.6
Interquartile range (IQR)85359.24

Descriptive statistics

Standard deviation102533.62
Coefficient of variation (CV)1.8320738
Kurtosis11.958459
Mean55965.877
Median Absolute Deviation (MAD)0
Skewness2.9423162
Sum2.1492643 × 1011
Variance1.0513143 × 1010
MonotonicityNot monotonic
2025-02-02T16:08:32.773627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2296167
59.8%
45000 5072
 
0.1%
90000 4767
 
0.1%
135000 4513
 
0.1%
67500 3537
 
0.1%
180000 3256
 
0.1%
112500 2034
 
0.1%
22500 1283
 
< 0.1%
225000 1229
 
< 0.1%
157500 1212
 
< 0.1%
Other values (1195829) 1517242
39.5%
ValueCountFrequency (%)
-423305.82 1
< 0.1%
-270288 1
< 0.1%
-267615 1
< 0.1%
-241042.005 1
< 0.1%
-225000 1
< 0.1%
-223224.21 1
< 0.1%
-202735.89 1
< 0.1%
-189000 1
< 0.1%
-135867.105 1
< 0.1%
-133982.235 1
< 0.1%
ValueCountFrequency (%)
1472316.795 1
< 0.1%
1354829.265 1
< 0.1%
1329264.63 1
< 0.1%
1325147.4 1
< 0.1%
1305440.145 1
< 0.1%
1229704.065 1
< 0.1%
1198599.435 1
< 0.1%
1185785.685 1
< 0.1%
1183951.8 1
< 0.1%
1150643.16 1
< 0.1%

AMT_RECIVABLE
Real number (ℝ)

High correlation  Zeros 

Distinct1338878
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58088.811
Minimum-420250.18
Maximum1493338.2
Zeros2113816
Zeros (%)55.0%
Negative109338
Negative (%)2.8%
Memory size29.3 MiB
2025-02-02T16:08:33.092788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-420250.18
5-th percentile0
Q10
median0
Q388899.491
95-th percentile256445.41
Maximum1493338.2
Range1913588.4
Interquartile range (IQR)88899.491

Descriptive statistics

Standard deviation105965.37
Coefficient of variation (CV)1.8241959
Kurtosis11.71959
Mean58088.811
Median Absolute Deviation (MAD)0
Skewness2.9131725
Sum2.2307916 × 1011
Variance1.122866 × 1010
MonotonicityNot monotonic
2025-02-02T16:08:33.536355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2113816
55.0%
67.5 3144
 
0.1%
270 2301
 
0.1%
130.5 825
 
< 0.1%
135 756
 
< 0.1%
202.5 699
 
< 0.1%
45000 645
 
< 0.1%
450 310
 
< 0.1%
90000 264
 
< 0.1%
135000 255
 
< 0.1%
Other values (1338868) 1717297
44.7%
ValueCountFrequency (%)
-420250.185 1
< 0.1%
-268834.545 1
< 0.1%
-261777.015 1
< 0.1%
-239950.485 1
< 0.1%
-224569.71 1
< 0.1%
-223224.21 1
< 0.1%
-202380.39 1
< 0.1%
-186505.2 1
< 0.1%
-133442.235 1
< 0.1%
-131946.39 1
< 0.1%
ValueCountFrequency (%)
1493338.185 1
< 0.1%
1354829.265 1
< 0.1%
1341252 1
< 0.1%
1334196.765 1
< 0.1%
1329264.63 1
< 0.1%
1229704.065 1
< 0.1%
1214812.395 1
< 0.1%
1210510.755 1
< 0.1%
1205441.64 1
< 0.1%
1150643.16 1
< 0.1%

AMT_TOTAL_RECEIVABLE
Real number (ℝ)

High correlation  Zeros 

Distinct1339008
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58098.285
Minimum-420250.18
Maximum1493338.2
Zeros2113643
Zeros (%)55.0%
Negative109330
Negative (%)2.8%
Memory size29.3 MiB
2025-02-02T16:08:34.115967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-420250.18
5-th percentile0
Q10
median0
Q388914.51
95-th percentile256468.5
Maximum1493338.2
Range1913588.4
Interquartile range (IQR)88914.51

Descriptive statistics

Standard deviation105971.8
Coefficient of variation (CV)1.8240091
Kurtosis11.715925
Mean58098.285
Median Absolute Deviation (MAD)0
Skewness2.9126841
Sum2.2311554 × 1011
Variance1.1230023 × 1010
MonotonicityNot monotonic
2025-02-02T16:08:34.456533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2113643
55.0%
67.5 3144
 
0.1%
270 2301
 
0.1%
130.5 825
 
< 0.1%
135 756
 
< 0.1%
202.5 699
 
< 0.1%
45000 645
 
< 0.1%
450 310
 
< 0.1%
90000 264
 
< 0.1%
135000 255
 
< 0.1%
Other values (1338998) 1717470
44.7%
ValueCountFrequency (%)
-420250.185 1
< 0.1%
-268834.545 1
< 0.1%
-261777.015 1
< 0.1%
-239950.485 1
< 0.1%
-224569.71 1
< 0.1%
-223224.21 1
< 0.1%
-202380.39 1
< 0.1%
-186505.2 1
< 0.1%
-133442.235 1
< 0.1%
-131946.39 1
< 0.1%
ValueCountFrequency (%)
1493338.185 1
< 0.1%
1354829.265 1
< 0.1%
1341252 1
< 0.1%
1334196.765 1
< 0.1%
1329264.63 1
< 0.1%
1229704.065 1
< 0.1%
1214812.395 1
< 0.1%
1210510.755 1
< 0.1%
1205441.64 1
< 0.1%
1150643.16 1
< 0.1%

CNT_DRAWINGS_ATM_CURRENT
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct44
Distinct (%)< 0.1%
Missing749816
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.30944903
Minimum0
Maximum51
Zeros2665718
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:34.788983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1004012
Coefficient of variation (CV)3.5560013
Kurtosis81.549383
Mean0.30944903
Median Absolute Deviation (MAD)0
Skewness6.9066553
Sum956351
Variance1.2108828
MonotonicityNot monotonic
2025-02-02T16:08:35.105188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 2665718
69.4%
1 213460
 
5.6%
2 95647
 
2.5%
3 46730
 
1.2%
4 26335
 
0.7%
5 14910
 
0.4%
6 9179
 
0.2%
7 5718
 
0.1%
8 3992
 
0.1%
9 2427
 
0.1%
Other values (34) 6380
 
0.2%
(Missing) 749816
 
19.5%
ValueCountFrequency (%)
0 2665718
69.4%
1 213460
 
5.6%
2 95647
 
2.5%
3 46730
 
1.2%
4 26335
 
0.7%
5 14910
 
0.4%
6 9179
 
0.2%
7 5718
 
0.1%
8 3992
 
0.1%
9 2427
 
0.1%
ValueCountFrequency (%)
51 1
 
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
41 2
< 0.1%
39 2
< 0.1%
38 3
< 0.1%
37 2
< 0.1%
36 3
< 0.1%
35 4
< 0.1%
34 4
< 0.1%

CNT_DRAWINGS_CURRENT
Real number (ℝ)

High correlation  Zeros 

Distinct129
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70314391
Minimum0
Maximum165
Zeros3229952
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:35.405366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum165
Range165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1903468
Coefficient of variation (CV)4.5372601
Kurtosis177.92831
Mean0.70314391
Median Absolute Deviation (MAD)0
Skewness10.635288
Sum2700292
Variance10.178313
MonotonicityNot monotonic
2025-02-02T16:08:36.136543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3229952
84.1%
1 231319
 
6.0%
2 116762
 
3.0%
3 65318
 
1.7%
4 43290
 
1.1%
5 28987
 
0.8%
6 20768
 
0.5%
7 15872
 
0.4%
8 12345
 
0.3%
9 9534
 
0.2%
Other values (119) 66165
 
1.7%
ValueCountFrequency (%)
0 3229952
84.1%
1 231319
 
6.0%
2 116762
 
3.0%
3 65318
 
1.7%
4 43290
 
1.1%
5 28987
 
0.8%
6 20768
 
0.5%
7 15872
 
0.4%
8 12345
 
0.3%
9 9534
 
0.2%
ValueCountFrequency (%)
165 1
 
< 0.1%
162 2
< 0.1%
151 1
 
< 0.1%
143 1
 
< 0.1%
142 2
< 0.1%
136 1
 
< 0.1%
135 1
 
< 0.1%
130 2
< 0.1%
126 3
< 0.1%
124 4
< 0.1%

CNT_DRAWINGS_OTHER_CURRENT
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing749816
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.0048124961
Minimum0
Maximum12
Zeros3077688
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:36.496490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.082638612
Coefficient of variation (CV)17.171674
Kurtosis1253.2563
Mean0.0048124961
Median Absolute Deviation (MAD)0
Skewness26.323819
Sum14873
Variance0.0068291402
MonotonicityNot monotonic
2025-02-02T16:08:36.869993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 3077688
80.1%
1 11354
 
0.3%
2 1076
 
< 0.1%
3 259
 
< 0.1%
4 65
 
< 0.1%
5 27
 
< 0.1%
6 11
 
< 0.1%
7 9
 
< 0.1%
8 3
 
< 0.1%
10 3
 
< 0.1%
(Missing) 749816
 
19.5%
ValueCountFrequency (%)
0 3077688
80.1%
1 11354
 
0.3%
2 1076
 
< 0.1%
3 259
 
< 0.1%
4 65
 
< 0.1%
5 27
 
< 0.1%
6 11
 
< 0.1%
7 9
 
< 0.1%
8 3
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
10 3
 
< 0.1%
8 3
 
< 0.1%
7 9
 
< 0.1%
6 11
 
< 0.1%
5 27
 
< 0.1%
4 65
 
< 0.1%
3 259
 
< 0.1%
2 1076
 
< 0.1%
1 11354
0.3%

CNT_DRAWINGS_POS_CURRENT
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct133
Distinct (%)< 0.1%
Missing749816
Missing (%)19.5%
Infinite0
Infinite (%)0.0%
Mean0.55947913
Minimum0
Maximum165
Zeros2825594
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:37.239655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum165
Range165
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2406491
Coefficient of variation (CV)5.7922609
Kurtosis192.55102
Mean0.55947913
Median Absolute Deviation (MAD)0
Skewness11.352616
Sum1729068
Variance10.501807
MonotonicityNot monotonic
2025-02-02T16:08:37.598954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2825594
73.6%
1 72216
 
1.9%
2 41061
 
1.1%
3 27337
 
0.7%
4 20273
 
0.5%
5 15149
 
0.4%
6 12133
 
0.3%
7 9773
 
0.3%
8 7993
 
0.2%
9 6627
 
0.2%
Other values (123) 52340
 
1.4%
(Missing) 749816
 
19.5%
ValueCountFrequency (%)
0 2825594
73.6%
1 72216
 
1.9%
2 41061
 
1.1%
3 27337
 
0.7%
4 20273
 
0.5%
5 15149
 
0.4%
6 12133
 
0.3%
7 9773
 
0.3%
8 7993
 
0.2%
9 6627
 
0.2%
ValueCountFrequency (%)
165 1
< 0.1%
162 2
< 0.1%
151 1
< 0.1%
143 1
< 0.1%
142 1
< 0.1%
140 1
< 0.1%
136 1
< 0.1%
135 1
< 0.1%
130 2
< 0.1%
126 2
< 0.1%

CNT_INSTALMENT_MATURE_CUM
Real number (ℝ)

Missing  Zeros 

Distinct121
Distinct (%)< 0.1%
Missing305236
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean20.825084
Minimum0
Maximum120
Zeros551467
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:37.925176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q332
95-th percentile61
Maximum120
Range120
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.051494
Coefficient of variation (CV)0.96285297
Kurtosis0.64032881
Mean20.825084
Median Absolute Deviation (MAD)13
Skewness1.0755883
Sum73618254
Variance402.0624
MonotonicityNot monotonic
2025-02-02T16:08:38.258102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 551467
 
14.4%
5 91691
 
2.4%
2 91035
 
2.4%
4 89941
 
2.3%
6 89829
 
2.3%
3 89492
 
2.3%
1 87306
 
2.3%
7 87177
 
2.3%
8 86882
 
2.3%
9 81423
 
2.1%
Other values (111) 2188833
57.0%
(Missing) 305236
 
7.9%
ValueCountFrequency (%)
0 551467
14.4%
1 87306
 
2.3%
2 91035
 
2.4%
3 89492
 
2.3%
4 89941
 
2.3%
5 91691
 
2.4%
6 89829
 
2.3%
7 87177
 
2.3%
8 86882
 
2.3%
9 81423
 
2.1%
ValueCountFrequency (%)
120 1
 
< 0.1%
119 2
 
< 0.1%
118 3
 
< 0.1%
117 4
 
< 0.1%
116 6
 
< 0.1%
115 10
 
< 0.1%
114 14
< 0.1%
113 19
< 0.1%
112 24
< 0.1%
111 32
< 0.1%

NAME_CONTRACT_STATUS
Categorical

Imbalance 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size231.1 MiB
Active
3698436 
Completed
 
128918
Signed
 
11058
Demand
 
1365
Sent proposal
 
513
Other values (2)
 
22

Length

Max length13
Median length6
Mean length6.1016511
Min length6

Characters and Unicode

Total characters23432244
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowActive
2nd rowActive
3rd rowActive
4th rowActive
5th rowActive

Common Values

ValueCountFrequency (%)
Active 3698436
96.3%
Completed 128918
 
3.4%
Signed 11058
 
0.3%
Demand 1365
 
< 0.1%
Sent proposal 513
 
< 0.1%
Refused 17
 
< 0.1%
Approved 5
 
< 0.1%

Length

2025-02-02T16:08:38.612905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-02T16:08:38.904085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
active 3698436
96.3%
completed 128918
 
3.4%
signed 11058
 
0.3%
demand 1365
 
< 0.1%
sent 513
 
< 0.1%
proposal 513
 
< 0.1%
refused 17
 
< 0.1%
approved 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 3969247
16.9%
t 3827867
16.3%
i 3709494
15.8%
A 3698441
15.8%
v 3698441
15.8%
c 3698436
15.8%
d 141363
 
0.6%
m 130283
 
0.6%
p 129954
 
0.6%
o 129949
 
0.6%
Other values (13) 298769
 
1.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23432244
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 3969247
16.9%
t 3827867
16.3%
i 3709494
15.8%
A 3698441
15.8%
v 3698441
15.8%
c 3698436
15.8%
d 141363
 
0.6%
m 130283
 
0.6%
p 129954
 
0.6%
o 129949
 
0.6%
Other values (13) 298769
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23432244
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 3969247
16.9%
t 3827867
16.3%
i 3709494
15.8%
A 3698441
15.8%
v 3698441
15.8%
c 3698436
15.8%
d 141363
 
0.6%
m 130283
 
0.6%
p 129954
 
0.6%
o 129949
 
0.6%
Other values (13) 298769
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23432244
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 3969247
16.9%
t 3827867
16.3%
i 3709494
15.8%
A 3698441
15.8%
v 3698441
15.8%
c 3698436
15.8%
d 141363
 
0.6%
m 130283
 
0.6%
p 129954
 
0.6%
o 129949
 
0.6%
Other values (13) 298769
 
1.3%

SK_DPD
Real number (ℝ)

High correlation  Zeros 

Distinct917
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2836673
Minimum0
Maximum3260
Zeros3686957
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:39.298691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3260
Range3260
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.5157
Coefficient of variation (CV)10.504006
Kurtosis190.37264
Mean9.2836673
Median Absolute Deviation (MAD)0
Skewness12.94699
Sum35652179
Variance9509.3118
MonotonicityNot monotonic
2025-02-02T16:08:39.820610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3686957
96.0%
1 90369
 
2.4%
8 2772
 
0.1%
32 2340
 
0.1%
7 1797
 
< 0.1%
62 1406
 
< 0.1%
31 1290
 
< 0.1%
366 959
 
< 0.1%
93 899
 
< 0.1%
18 837
 
< 0.1%
Other values (907) 50686
 
1.3%
ValueCountFrequency (%)
0 3686957
96.0%
1 90369
 
2.4%
5 532
 
< 0.1%
6 99
 
< 0.1%
7 1797
 
< 0.1%
8 2772
 
0.1%
9 37
 
< 0.1%
10 9
 
< 0.1%
11 152
 
< 0.1%
12 222
 
< 0.1%
ValueCountFrequency (%)
3260 1
< 0.1%
3229 1
< 0.1%
3198 1
< 0.1%
3168 1
< 0.1%
3137 1
< 0.1%
3107 1
< 0.1%
3076 1
< 0.1%
3045 1
< 0.1%
3015 1
< 0.1%
2984 1
< 0.1%

SK_DPD_DEF
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct378
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33162201
Minimum0
Maximum3260
Zeros3750972
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size29.3 MiB
2025-02-02T16:08:40.275077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3260
Range3260
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.479231
Coefficient of variation (CV)64.770222
Kurtosis9007.739
Mean0.33162201
Median Absolute Deviation (MAD)0
Skewness89.830434
Sum1273532
Variance461.35738
MonotonicityNot monotonic
2025-02-02T16:08:40.789328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3750972
97.7%
1 83080
 
2.2%
8 1729
 
< 0.1%
7 1176
 
< 0.1%
32 492
 
< 0.1%
5 406
 
< 0.1%
31 291
 
< 0.1%
18 253
 
< 0.1%
12 125
 
< 0.1%
62 114
 
< 0.1%
Other values (368) 1674
 
< 0.1%
ValueCountFrequency (%)
0 3750972
97.7%
1 83080
 
2.2%
5 406
 
< 0.1%
6 83
 
< 0.1%
7 1176
 
< 0.1%
8 1729
 
< 0.1%
9 24
 
< 0.1%
10 7
 
< 0.1%
11 82
 
< 0.1%
12 125
 
< 0.1%
ValueCountFrequency (%)
3260 1
< 0.1%
3229 1
< 0.1%
3198 1
< 0.1%
3168 1
< 0.1%
3137 1
< 0.1%
3107 1
< 0.1%
3076 1
< 0.1%
3045 1
< 0.1%
3015 1
< 0.1%
2984 1
< 0.1%

Interactions

2025-02-02T16:04:56.235349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:07.974641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:35.322112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:59.152050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:27.154578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:24.927271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:52.346078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:16.772826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:42.529052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:06.380432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:29.396394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:55.690519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:17.413196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:39.257354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:01.959400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:25.199805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:47.273334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:08.236167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:30.842922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:50.402580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:11.161353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:32.956221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:57.611452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:09.412006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:36.081315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:00.364937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:28.670360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:25.879554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:53.639899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:18.090400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:43.741152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:07.069848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:30.801089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:56.948004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:18.682110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:40.619645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:02.978410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:25.927267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:48.474791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:08.913887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:31.653111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:51.704074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:11.904551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:34.208549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:59.020104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:10.891726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:37.000680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:01.722235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:49.862054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:27.306595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:54.735647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:19.508217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:45.164841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:08.077262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:32.207979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:58.231606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:19.539054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:41.907203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:04.373312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:26.972494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:49.494947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:09.627769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:32.306143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:52.413013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:12.634076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:35.495953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:59.747909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:12.046121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:38.421457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:02.937984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:54.437516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:28.693592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:55.447961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:20.355469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:46.346735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:09.272254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:33.541040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:59.395622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:20.236238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:42.617663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:05.685868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:28.288803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:50.103771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:10.894925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:32.906048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:53.252991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:13.325935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:36.470177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:00.839693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:13.130688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:39.835718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:03.644897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:56.294676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:30.620496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:56.681601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:00:44.995054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:09.015986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:01:53.024272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:05:18.145827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T15:59:33.952867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:01:10.055969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:31.580621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:54.350190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:16.457786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:39.249416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:00.736848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:22.580479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:42.795198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:02.963698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:24.610756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:47.321794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:19.970208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:27.282729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:51.540188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:17.042135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:14.378947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:43.501496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:09.105853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:34.744447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:58.932589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:21.719885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:02:40.206166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:01.863608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:23.223816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:43.429306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:03.979423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:25.807907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:48.811376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:21.733104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:28.421264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:52.860475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:18.166174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:15.557542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:44.907347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:10.266656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:35.501759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:00.208941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:22.937948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:48.248301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:11.487571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:33.390056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:56.259687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:18.331708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:40.906722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:02.894303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:24.444548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:04:05.147510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:27.103106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:50.001460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:24.160352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:29.691752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:53.913999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:19.065687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:16.953934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:46.233834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:11.483146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:36.689288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:00.959465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:24.145901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:49.487041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:12.632149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:34.101605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:57.052022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:19.524616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:41.915715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:03.480716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:25.615391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:45.426207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:06.285581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:27.769044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:50.615977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:26.013463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:30.929076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:54.574248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:20.758447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:18.405992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:47.550622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:12.689225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:37.857734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:01.684790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:25.344162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:50.750876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:13.745851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:35.214935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:58.228448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:20.646263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:43.090826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:04.304591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:26.747217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:46.550160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:06.983350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:28.562940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:51.533924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:27.784399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:31.657001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:55.719337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:22.733563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:20.001041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:48.898929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:13.380028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:39.151345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:02.845880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:26.510395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:52.223226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:14.697039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:36.451398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:59.576596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:21.478621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:44.412261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:05.426810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:27.422236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:47.427068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:07.571093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:29.884250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:53.022246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:31.520669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:32.635845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:57.095122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:24.223898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:21.846227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:49.737936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:14.266659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:40.511564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:04.062765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:27.265089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:53.674994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:15.315535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:37.517070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:00.545526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:22.574951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:45.166118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:06.619457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-02-02T16:03:48.179567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:08.670940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:31.260109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:54.428961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:05:39.293208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:33.987517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:56:58.352808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:57:25.648960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:23.455179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:58:51.031466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:15.479034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T15:59:41.664777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:05.303172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:27.993851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:00:54.718054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:16.173744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:01:38.179957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:01.243838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:23.884957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:02:46.072552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:07.553583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:29.664220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:03:49.229056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:09.857493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:32.182053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-02T16:04:55.179593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-02-02T16:08:41.201818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AMT_BALANCEAMT_CREDIT_LIMIT_ACTUALAMT_DRAWINGS_ATM_CURRENTAMT_DRAWINGS_CURRENTAMT_DRAWINGS_OTHER_CURRENTAMT_DRAWINGS_POS_CURRENTAMT_INST_MIN_REGULARITYAMT_PAYMENT_CURRENTAMT_PAYMENT_TOTAL_CURRENTAMT_RECEIVABLE_PRINCIPALAMT_RECIVABLEAMT_TOTAL_RECEIVABLECNT_DRAWINGS_ATM_CURRENTCNT_DRAWINGS_CURRENTCNT_DRAWINGS_OTHER_CURRENTCNT_DRAWINGS_POS_CURRENTCNT_INSTALMENT_MATURE_CUMMONTHS_BALANCENAME_CONTRACT_STATUSSK_DPDSK_DPD_DEFSK_ID_CURRSK_ID_PREV
AMT_BALANCE1.0000.4660.4190.5040.0580.2690.9190.6830.7990.9770.9710.9710.4200.5080.0550.2700.129-0.1660.0300.1550.1630.0030.000
AMT_CREDIT_LIMIT_ACTUAL0.4661.0000.2740.3100.0300.2770.4860.4900.4310.4600.4580.4580.2700.3090.0260.275-0.0760.0670.0200.0030.0230.0070.005
AMT_DRAWINGS_ATM_CURRENT0.4190.2741.0000.8080.0140.1800.2990.2760.2790.4130.4070.4070.9970.7870.0120.180-0.1250.0010.006-0.0250.0090.0030.004
AMT_DRAWINGS_CURRENT0.5040.3100.8081.0000.1330.6210.3720.3610.4040.5020.4910.4900.8040.9900.1300.619-0.0750.0760.005-0.0250.0050.0030.001
AMT_DRAWINGS_OTHER_CURRENT0.0580.0300.0140.1331.0000.0090.0250.0200.0200.0580.0570.0570.0130.1170.9810.008-0.025-0.0300.002-0.0040.001-0.001-0.002
AMT_DRAWINGS_POS_CURRENT0.2690.2770.1800.6210.0091.0000.1870.2720.2620.2690.2630.2630.1790.6610.0080.999-0.2260.2570.003-0.054-0.0370.0010.003
AMT_INST_MIN_REGULARITY0.9190.4860.2990.3720.0250.1871.0000.7570.8520.9030.8870.8870.3020.3800.0220.1890.173-0.2430.0580.0720.1560.0030.003
AMT_PAYMENT_CURRENT0.6830.4900.2760.3610.0200.2720.7571.0000.8820.6700.6420.6420.2760.3680.0190.272-0.125-0.0780.003-0.216-0.1160.0030.006
AMT_PAYMENT_TOTAL_CURRENT0.7990.4310.2790.4040.0200.2620.8520.8821.0000.7770.7640.7640.2800.4100.0170.2630.096-0.1220.003-0.070-0.0170.004-0.001
AMT_RECEIVABLE_PRINCIPAL0.9770.4600.4130.5020.0580.2690.9030.6700.7771.0000.9710.9710.4140.5060.0540.2690.105-0.1540.0310.0770.1630.0040.001
AMT_RECIVABLE0.9710.4580.4070.4910.0570.2630.8870.6420.7640.9711.0001.0000.4080.4940.0530.2630.101-0.1320.0310.1540.1630.0030.000
AMT_TOTAL_RECEIVABLE0.9710.4580.4070.4900.0570.2630.8870.6420.7640.9711.0001.0000.4080.4940.0530.2630.101-0.1320.0310.1540.1630.0030.000
CNT_DRAWINGS_ATM_CURRENT0.4200.2700.9970.8040.0130.1790.3020.2760.2800.4140.4080.4081.0000.7890.0120.180-0.122-0.0040.010-0.0230.0110.0030.003
CNT_DRAWINGS_CURRENT0.5080.3090.7870.9900.1170.6610.3800.3680.4100.5060.4940.4940.7891.0000.1190.662-0.0760.0790.007-0.0240.0070.0030.001
CNT_DRAWINGS_OTHER_CURRENT0.0550.0260.0120.1300.9810.0080.0220.0190.0170.0540.0530.0530.0120.1191.0000.008-0.024-0.0290.002-0.0040.000-0.000-0.002
CNT_DRAWINGS_POS_CURRENT0.2700.2750.1800.6190.0080.9990.1890.2720.2630.2690.2630.2630.1800.6620.0081.000-0.2260.2590.009-0.054-0.0370.0010.003
CNT_INSTALMENT_MATURE_CUM0.129-0.076-0.125-0.075-0.025-0.2260.173-0.1250.0960.1050.1010.101-0.122-0.076-0.024-0.2261.000-0.2040.0550.1250.0810.000-0.007
MONTHS_BALANCE-0.1660.0670.0010.076-0.0300.257-0.243-0.078-0.122-0.154-0.132-0.132-0.0040.079-0.0290.259-0.2041.0000.082-0.105-0.1280.0010.003
NAME_CONTRACT_STATUS0.0300.0200.0060.0050.0020.0030.0580.0030.0030.0310.0310.0310.0100.0070.0020.0090.0550.0821.0000.0940.2850.0060.008
SK_DPD0.1550.003-0.025-0.025-0.004-0.0540.072-0.216-0.0700.0770.1540.154-0.023-0.024-0.004-0.0540.125-0.1050.0941.0000.745-0.002-0.004
SK_DPD_DEF0.1630.0230.0090.0050.001-0.0370.156-0.116-0.0170.1630.1630.1630.0110.0070.000-0.0370.081-0.1280.2850.7451.000-0.001-0.004
SK_ID_CURR0.0030.0070.0030.003-0.0010.0010.0030.0030.0040.0040.0030.0030.0030.003-0.0000.0010.0000.0010.006-0.002-0.0011.0000.005
SK_ID_PREV0.0000.0050.0040.001-0.0020.0030.0030.006-0.0010.0010.0000.0000.0030.001-0.0020.003-0.0070.0030.008-0.004-0.0040.0051.000

Missing values

2025-02-02T16:05:56.143708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-02T16:06:51.434282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-02-02T16:07:39.880091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

SK_ID_PREVSK_ID_CURRMONTHS_BALANCEAMT_BALANCEAMT_CREDIT_LIMIT_ACTUALAMT_DRAWINGS_ATM_CURRENTAMT_DRAWINGS_CURRENTAMT_DRAWINGS_OTHER_CURRENTAMT_DRAWINGS_POS_CURRENTAMT_INST_MIN_REGULARITYAMT_PAYMENT_CURRENTAMT_PAYMENT_TOTAL_CURRENTAMT_RECEIVABLE_PRINCIPALAMT_RECIVABLEAMT_TOTAL_RECEIVABLECNT_DRAWINGS_ATM_CURRENTCNT_DRAWINGS_CURRENTCNT_DRAWINGS_OTHER_CURRENTCNT_DRAWINGS_POS_CURRENTCNT_INSTALMENT_MATURE_CUMNAME_CONTRACT_STATUSSK_DPDSK_DPD_DEF
02562384378907-656.9701350000.0877.5000.0877.5001700.3251800.0001800.0000.0000.0000.0000.010.01.035.0Active00
12582071363914-163975.555450002250.02250.0000.00.0002250.0002250.0002250.00060175.08064875.55564875.5551.010.00.069.0Active00
21740877371185-731815.2254500000.00.0000.00.0002250.0002250.0002250.00026926.42531460.08531460.0850.000.00.030.0Active00
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52646502380010-782903.8152700000.00.0000.00.0004449.1053825.0003825.00080519.04082773.31582773.3150.000.00.02.0Active70
61079071171320-6353451.64558500067500.067500.0000.00.00014684.17515750.00015750.000345433.860351881.145351881.1451.010.00.06.0Active00
72095912118650-747962.1254500045000.045000.0000.00.0000.000264.6900.00044735.31047962.12547962.1251.010.00.051.0Active00
82181852367360-4291543.07529250090000.0289339.4250.0199339.425130.5004093.5154093.515285376.410286831.575286831.5753.080.05.03.0Active00
91235299203885-5201261.19522500076500.0111026.7000.034526.7006338.34045000.00045000.000192793.275197224.695197224.6953.090.06.038.0Active00
SK_ID_PREVSK_ID_CURRMONTHS_BALANCEAMT_BALANCEAMT_CREDIT_LIMIT_ACTUALAMT_DRAWINGS_ATM_CURRENTAMT_DRAWINGS_CURRENTAMT_DRAWINGS_OTHER_CURRENTAMT_DRAWINGS_POS_CURRENTAMT_INST_MIN_REGULARITYAMT_PAYMENT_CURRENTAMT_PAYMENT_TOTAL_CURRENTAMT_RECEIVABLE_PRINCIPALAMT_RECIVABLEAMT_TOTAL_RECEIVABLECNT_DRAWINGS_ATM_CURRENTCNT_DRAWINGS_CURRENTCNT_DRAWINGS_OTHER_CURRENTCNT_DRAWINGS_POS_CURRENTCNT_INSTALMENT_MATURE_CUMNAME_CONTRACT_STATUSSK_DPDSK_DPD_DEF
38403022032117355450-110.000450000.00.00.00.00.03157.9200.0000.000.0000.0000.000.00.036.0Active00
38403031307188385981-90.0000NaN0.0NaNNaN0.0NaN0.0000.000.0000.000NaN0NaNNaN0.0Active00
38403041301378303373-150.00000.00.00.00.00.0360.2250.0000.000.0000.0000.000.00.060.0Active00
38403052621524172581-110.00000.00.00.00.00.04.8600.0000.000.0000.0000.000.00.021.0Active00
38403061410474255737-130.000180000NaN0.0NaNNaN0.0NaN0.0000.000.0000.000NaN0NaNNaN0.0Active00
38403071036507328243-90.00045000NaN0.0NaNNaN0.0NaN0.0000.000.0000.000NaN0NaNNaN0.0Active00
38403081714892347207-90.000450000.00.00.00.00.01879.1100.0000.000.0000.0000.000.00.023.0Active00
38403091302323215757-9275784.975585000270000.0270000.00.00.02250.0375750.000356994.675269356.14273093.975273093.9752.020.00.018.0Active00
38403101624872430337-100.000450000NaN0.0NaNNaN0.0NaN0.0000.000.0000.000NaN0NaNNaN0.0Active00
38403112411345236760-100.0001575000.00.00.00.00.00.0000.0000.000.0000.0000.000.00.021.0Completed00